CN110740450A - network cell capacity expansion method and device - Google Patents

network cell capacity expansion method and device Download PDF

Info

Publication number
CN110740450A
CN110740450A CN201910974873.5A CN201910974873A CN110740450A CN 110740450 A CN110740450 A CN 110740450A CN 201910974873 A CN201910974873 A CN 201910974873A CN 110740450 A CN110740450 A CN 110740450A
Authority
CN
China
Prior art keywords
cell
predetermined
determining
resource utilization
preset
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910974873.5A
Other languages
Chinese (zh)
Other versions
CN110740450B (en
Inventor
李�一
刘光海
李菲
龙青良
肖天
薛永备
田元兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China United Network Communications Group Co Ltd
Original Assignee
China United Network Communications Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China United Network Communications Group Co Ltd filed Critical China United Network Communications Group Co Ltd
Priority to CN201910974873.5A priority Critical patent/CN110740450B/en
Publication of CN110740450A publication Critical patent/CN110740450A/en
Application granted granted Critical
Publication of CN110740450B publication Critical patent/CN110740450B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/04—Traffic adaptive resource partitioning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application provides network cell capacity expansion methods and devices, relates to the technical field of communication and is used for cell capacity expansion in a 5G network.

Description

network cell capacity expansion method and device
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for expanding network cells.
Background
The 5G network adopts a large-scale antenna technology (multiple-input multiple-output, Massive MIMO), wireless resources not only include time domain resources and frequency domain resources, but also include abundant space domain resources, when allocating resources for users, the 5G network firstly performs 'pairing' on all users with service requirements to form a plurality of space packets, users under the same space packet can realize space isolation, namely users are separated by different beams, therefore, different users under the same space packets can use the same time frequency resources, but users under different beams must be separated by time frequency resources.
Therefore, if the traditional capacity expansion mode is adopted for the cell capacity expansion of the 5G network, the real situation of the cell cannot be actually reflected, the user experience may be affected due to the fact that the cell capacity expansion is not timely performed, or resource waste is caused to the cell capacity expansion when the capacity expansion is unnecessary.
Disclosure of Invention
The embodiment of the invention provides network cell capacity expansion methods and devices, which are used for cell capacity expansion in a 5G network.
provides a method for expanding network cells, comprising the steps of obtaining beam information used by a predetermined cell in a scheduling slot, wherein the beam information comprises the number of beams used by the predetermined cell and the number of Physical Resource Blocks (PRBs) used by the predetermined cell in each beam, determining the type of the predetermined cell according to the beam information, determining a predetermined radio resource utilization algorithm according to the type of the predetermined cell, calculating the radio resource utilization of the predetermined cell according to the beam information and the predetermined radio resource utilization algorithm, determining an expansion condition of the predetermined cell according to the type of the predetermined cell, determining the type of the predetermined cell when the radio resource utilization of the predetermined cell meets the expansion condition of the predetermined cell, expanding the predetermined cell, and thus, determining the expansion of the predetermined cell according to the expansion type of the predetermined cell, determining the utilization of the time domain resource and the frequency domain resource of the predetermined cell, wherein the expansion of the predetermined cell is determined by scheduling the beam information used by the cell in the slot, determining the expansion of the predetermined cell according to the expansion type of the predetermined cell, determining the expansion of the predetermined cell according to the expansion information of the different types, determining the expansion condition of the radio resource utilization of the predetermined cell according to the expansion information, and determining the actual utilization of the predetermined cell if the expansion of the predetermined cell does not affect the wireless resource utilization of the predetermined cell, wherein the expansion of the wireless resource in the expansion of the predetermined cell is determined by the expansion of the beam resource in the wireless resource in the predetermined cell.
The second aspect provides network cell capacity expansion devices, which include an obtaining module configured to obtain beam information used by a predetermined cell in a scheduling slot, where the beam information includes the number of beams used by the predetermined cell and the number of physical resource blocks PRB used by each beam by the predetermined cell, a processing module configured to determine a type of the predetermined cell according to the beam information obtained by the obtaining module, determine a predetermined radio resource utilization algorithm according to the type of the predetermined cell, calculate a radio resource utilization of the predetermined cell according to the beam information and the predetermined radio resource utilization algorithm, determine a capacity expansion condition of the predetermined cell according to the type of the predetermined cell, and determine to expand the capacity of the predetermined cell when it is determined that the radio resource utilization of the predetermined cell meets the capacity expansion condition of the predetermined cell.
In a third aspect, network cell capacity expansion devices are provided, which include a processor, where when the network cell capacity expansion device runs, the processor runs an instruction, so that the network cell capacity expansion device executes the network cell capacity expansion method of the aspect.
In a fourth aspect, computer storage media are provided, which include instructions that, when executed on a computer, cause the computer to perform the method for capacity expansion of a network cell provided by the above-mentioned .
In a fifth aspect, computer program products are provided, the computer program products comprising instruction codes for executing instructions to implement the network cell capacity expansion method provided in the above-mentioned .
The solutions provided in the second to fifth aspects include technical features the same as or corresponding to those in the , and the technical effects achieved by the solutions are similar to those in the , and are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a schematic flowchart of a capacity expansion method for network cells according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a capacity expansion device for types of network cells according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a capacity expansion device of network cells according to another embodiment of the present application.
Detailed Description
The use of the terms "" and "second," etc. do not denote any order, and the terms may be interpreted as specifying the presence of the stated objects or limitations, unless otherwise indicated.
In the prior art, cell expansion of a 4G network or a mobile communication network of a lower generation mainly depends on utilization conditions of time domain resources and frequency domain resources of a cell.A 5G network adopts Massive MIMO (multiple input multiple output) technology, wireless resources not only comprise time domain resources and frequency domain resources, but also comprise abundant space domain resources.A 5G network firstly performs pairing on all users with service requirements when distributing resources for the users to form a plurality of space groups.A user under the same space group can realize space isolation, namely, the users are separated by different beams.
Based on the above problems, the embodiments of the present application provide expansion methods for network cells, which have the following principle that the cells are classified according to the characteristics presented by the utilization of spatial resources of the cells, and the concept of 5G wireless resource utilization rate is proposed for different types of cells by considering spatial resources, i.e. beam information, and a 5G cell expansion criterion is formulated according to the 5G wireless resource utilization rate.
Referring to fig. 1, an embodiment of the present application provides an method for expanding a capacity of a network cell, including the following steps:
101. and acquiring beam information used by a predetermined cell in a slot of a scheduling time slot.
The beam information includes the number of beams used by the predetermined cell and the number of PRBs used by the predetermined cell in each beam. It can be understood that based on the number of beams used by the predetermined cell and the number of PRBs used by the predetermined cell in each beam, the following indexes may be specifically calculated, for example: beamiThe number of beams used by the ith slot cell; PRBi，jThe number of PRBs used by the jth beam of the ith slot cell; max (maximum of ten)PRBMaximum number of available PRBs; max (maximum of ten)beamMaximum number of available beams; availablebeamCounting the number of used beams in a period; averageUEAnd counting the average RRC connection number of the cells in the period.
102. The type of the predetermined cell is determined according to the beam information.
Specifically, if the Available is determined according to the beam information in a preset statistical periodbeam≥α×MaxbeamDetermining the predetermined cell as the user distributed cell, and determining α × Maxbeam＜Availablebeam＜β×MaxbeamDetermining the predetermined cell as a user -like cell, otherwise, determining the predetermined cell as a user centralized cell, wherein AvailablebeamFor counting the number of used beams in a period, MaxbeamFor the maximum number of beams available, α and β are constants, α ∈ [0,1 ∈],β∈[0,1]。
103. And determining a preset wireless resource utilization rate algorithm according to the type of the preset cell, and calculating the wireless resource utilization rate of the preset cell according to the beam information and the preset wireless resource utilization rate algorithm.
In step 103, the radio resource utilization rate is calculated mainly according to the type of the predetermined cell determined in step 102.
Specifically, S1) when the type of the predetermined cell is the user distributed cell, according to the user distributed cell, determining that the predetermined radio resource utilization algorithm is:
Figure BDA0002233270710000041
s2) when the predetermined cell type is user normal cell, according to user normal cell, determining the predetermined radio resource utilization algorithm as:
Figure BDA0002233270710000051
s3) when the type of the predetermined cell is the user centralized cell, determining the predetermined radio resource utilization algorithm as follows according to the user centralized cell:
Figure BDA0002233270710000052
wherein, Ultiliaztion is the utilization rate of the preset wireless resource, PRBi，jThe number of PRBs used by the jth Beam of the ith slot cell, BeamiNumber of beams used for ith slot cell, MaxPRBIs the largest available PRB.
104. And determining the capacity expansion condition of the predetermined cell according to the type of the predetermined cell, and determining the capacity expansion of the predetermined cell when the wireless resource utilization rate of the predetermined cell is determined to meet the capacity expansion condition of the predetermined cell.
For example: when the predetermined cell is the user distributed cell, if the Utiliaztion is more than or equal to delta and the Average is within the statistical periodUE≥VDistribution ofThen the capacity expansion for the predetermined cell is determined.
When the predetermined cell is the cell like the user , if the Utiliaztion is greater than or equal to delta and Average in the statistical periodUE≥V is commonThen the capacity expansion for the predetermined cell is determined.
When the predetermined cell is a user centralized cell, if Utiliaztion is more than or equal to delta and Average in the statistical periodUE≥VCentralizingThen the capacity expansion for the predetermined cell is determined.
Wherein, VDistribution of≥V is common≥VCentralizing，AverageUEThe average RRC connection number of the preset cells in the statistical period is shown, wherein delta is constant and belongs to [0,1 ]]. Wherein the specific value of delta is determined by the operator's policyAnd actual conditions. As Δ is used as a threshold condition for determining whether to expand the capacity, it can be understood that, when the value of Δ is large, the expansion of the predetermined cell is determined only when the wireless resource utilization level of the predetermined cell is high, and there may be a risk of delay in expansion; when the value of delta is smaller, if the utilization rate of the wireless resources of the preset cell meets the capacity expansion condition, namely capacity expansion, the operator is required to have sufficient resources for the capacity expansion of the cell, and the requirement on the budget of the operator is higher; therefore, the value of Δ needs to be weighted, and is specifically set according to the policy and the actual situation of the operator.
In the method, steps are further carried out to determine the type of the cell by scheduling beam information used by the cell in a slot, then a predetermined wireless resource utilization algorithm is determined according to the type of the cell, the wireless resource utilization rate of the cell is calculated according to the beam information and the predetermined wireless resource utilization algorithm, finally, a capacity expansion condition of the predetermined cell is determined according to the type of the predetermined cell, when the wireless resource utilization rate of the predetermined cell meets the capacity expansion condition of the predetermined cell, the capacity expansion of the predetermined cell is determined, namely, space domain resource utilization conditions of the beam information are used in the process of determining the capacity expansion of the cell to distinguish different types of cells, and the different types of cells are respectively calculated by wireless resource utilization rate, so that the capacity expansion criterion of the 5G network is avoided, the problem that the real situation of the cell cannot be actually reflected if the traditional capacity expansion mode is adopted, the capacity expansion of the cell is probably not influenced by timely experience of a user, or the capacity expansion of the cell is wasted when the traditional capacity expansion mode is formulated.
For the capacity expansion method of the network cell provided by the embodiment of the present application, specific examples are provided as follows:
the maximum number of downlink flows 16 of the cell in the 5G network, i.e. the maximum number of downlink service beams 16. Cell Bandwidth 100M, Max, in 5G networksPRB＝273。
Assume α -3/4, β -1/4
The network index when 3 cells are busy is extracted and is shown in table 1:
network Availablebeam Cell type determination
Cell 1 13 Distributed cell
Cell 2 9 type cell
Cell 3 3 Centralized cell
TABLE 1
The scheduling conditions of the resources of each slot of the cell are assumed to be the same (considering that 7200000 slots are total in 1 hour, the specific numerical value corresponding to each slot is not shown; in the existing network, the 5G base station performs scheduling according to the slot as granularity, and the scheduling conditions of the resources of each slot may be different).
For cell 1, the PRB utilization rates of beams 1-13 are 10%, 15%, 20%, 23%, 46%, 75%, 80%, 59%, 48%, 81%, 90%, and 16%, respectively, and then the resource utilization rate of cell 1 is:
the inactivation _ cell 1 ═ 273 ═ 40% (10% + 15% + 20% + 23% + 46% + 75% + 80% + 80% + 59% + 48% + 81% + 90% + 16%)/(16 × 273) (.
For cell 2, the PRB utilization rates of beams 1-9 are 20%, 23%, 46%, 75%, 80%, 59%, 48%, and 81%, respectively, and then the resource utilization rate of cell 2 is:
the inactivation _ cell 2 ═ 273 ═ 56.9% (20% + 23% + 46% + 75% + 80% + 80% + 59% + 48% + 81%)/(9 ═ 273).
For cell 3, the PRB utilization of beams 1-3 is 46%, 75%, 80%, and then the resource utilization of cell 2 is:
the recommendation _ cell 3 is 80%.
Let Δ be 50%, VDistribution of＝200，V is common＝100，VCentralizingAverage of 80 cells 1, 2, 3UE156, 87, 93, respectively, then the cell capacity decision is as shown in table 2 below:
Figure BDA0002233270710000071
TABLE 2
Referring to fig. 2, an embodiment of the present application further provides a network cell capacity expansion device, which is used to implement the network cell capacity expansion method corresponding to the embodiment in fig. 1, where the network cell capacity expansion device may be a 5G base station or a chip in the 5G base station, and includes:
an obtaining module 21, configured to obtain beam information used by a predetermined cell in a scheduling slot, where the beam information includes the number of beams used by the predetermined cell and the number of physical resource blocks PRB used by each beam of the predetermined cell.
A processing module 22, configured to determine a type of the predetermined cell according to the beam information acquired by the acquiring module 22; determining a preset wireless resource utilization rate algorithm according to the type of the preset cell, and calculating the wireless resource utilization rate of the preset cell according to the wave beam information and the preset wireless resource utilization rate algorithm; and determining the capacity expansion condition of the predetermined cell according to the type of the predetermined cell, and determining the capacity expansion of the predetermined cell when the wireless resource utilization rate of the predetermined cell is determined to meet the capacity expansion condition of the predetermined cell.
Optionally, the processing module 22 is specifically configured to determine the beam basis for a predetermined statistical periodInformation, if Available is determinedbeam≥α×MaxbeamDetermining the predetermined cell as the user distributed cell, and determining α × Maxbeam＜Availablebeam＜β×MaxbeamDetermining the predetermined cell as a user -like cell, otherwise, determining the predetermined cell as a user centralized cell, wherein AvailablebeamFor counting the number of used beams in a period, MaxbeamFor the maximum number of beams available, α and β are constants, α ∈ [0,1 ∈],β∈[0,1]。
Optionally, the processing module 22 is specifically configured to, when the type of the predetermined cell is the user distributed cell, determine, according to the user distributed cell, that the predetermined radio resource utilization algorithm is:
Figure BDA0002233270710000072
or, when the type of the predetermined cell is the user -like cell, according to the user -like cell, the predetermined radio resource utilization algorithm is determined as follows:
Figure BDA0002233270710000073
alternatively, the first and second electrodes may be,
when the type of the predetermined cell is a user centralized cell, according to the user centralized cell, determining a predetermined radio resource utilization algorithm as follows:
Figure BDA0002233270710000081
wherein, Ultiliaztion is the utilization rate of the preset wireless resource, PRBi，jThe number of PRBs used by the jth Beam of the ith slot cell, BeamiNumber of beams used for ith slot cell, MaxPRBIs the largest available PRB.
Optionally, the capacity expansion condition of the predetermined cell includes:
when the predetermined cell is a user distributed cell, if the Utiliaztion is more than or equal to delta and Average in the statistical periodUE≥VDistribution ofDetermining the capacity expansion of the preset cell;
when the predetermined cell is a cell like user , if Utiliaztion is greater than or equal to delta and Average in the statistical periodUE≥V is commonDetermining the capacity expansion of the preset cell;
when the predetermined cell is the user centralized cell, if the statistical period Utiliaztion is more than or equal to delta and verageUE≥VCentralizingDetermining the capacity expansion of the preset cell;
wherein, VDistribution of≥V is common≥VCentralizing，AverageUEThe average RRC connection number of the preset cells in the statistical period is shown, wherein delta is constant and belongs to [0,1 ]]。
The technical problem that can be solved by the network cell capacity expansion device and the technical effect achieved by the network cell capacity expansion device may refer to the description of the network cell capacity expansion method, and are not described herein again.
In another solutions, the obtaining module 21 and the processing module 22 of the network cell capacity expansion apparatus may be implemented by or multiple processors, and at this time, referring to fig. 3, network cell capacity expansion apparatuses are provided and applied to network cell capacity expansion, where the network cell capacity expansion apparatus includes a processor 31, and when the network cell capacity expansion apparatus operates, the processor 31 operates an instruction, so that the network cell capacity expansion apparatus executes the network cell capacity expansion method.
The processor 31 may be general-purpose Central Processing Units (CPUs), a controller MCU, an application-specific integrated circuit (ASIC), or or more ics for controlling the execution of programs according to the present disclosure.
Of course, the processor 31 may also be integrated with a storage device of computer programs or instructions implementing the network cell capacity expansion method, or the storage device may also be separately provided, for example, as shown in fig. 3, the memory 32 is separately provided. The memory 32 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disc storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. Of course, the network cell expansion apparatus may also be provided with an interface circuit 33 for communicating with other devices. Illustratively, the processor 31, memory 32, and interface circuit 33 may be coupled by a bus 34.
The embodiment of the present invention further provides computer storage media, which store instructions, and when the instructions are executed on a computer, the method for expanding the capacity of the network cell provided in the foregoing embodiment can be implemented.
The embodiment of the present invention further provides computer program products, where the computer program products include instruction codes, and the instruction codes are used to execute instructions to implement the network cell capacity expansion method provided in the foregoing embodiment.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises an series of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Based on the understanding that the technical solution of the present application or a part contributing to the prior art can be embodied in the form of a software product stored in storage media (such as ROM/RAM, magnetic disk, optical disk) and including several instructions for causing terminals (which may be mobile phones, computers, servers, air conditioners, or network devices) to execute the methods of the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (11)

1, network cell capacity expanding method, comprising:
acquiring beam information used by a predetermined cell in a scheduling slot, wherein the beam information comprises the number of beams used by the predetermined cell and the number of PRBs (physical resource blocks) used by each beam by the predetermined cell;
determining the type of the predetermined cell according to the beam information;
determining a preset wireless resource utilization rate algorithm according to the type of the preset cell, and calculating the wireless resource utilization rate of the preset cell according to the beam information and the preset wireless resource utilization rate algorithm;
and determining the capacity expansion condition of the predetermined cell according to the type of the predetermined cell, and determining the capacity expansion of the predetermined cell when the radio resource utilization rate of the predetermined cell is determined to meet the capacity expansion condition of the predetermined cell.
2. The method of claim 1, wherein the determining the type of the predetermined cell according to the beam information comprises:
within a predetermined statistical periodAccording to the wave beam information, if the Available is determinedbeam≥α×MaxbeamDetermining the preset cell as user distributed cell, if determining α × Maxbeam＜Availablebeam＜β×MaxbeamIf not, determining the predetermined cell as a user centralized cell, wherein Available cellbeamFor the number of used beams in the statistical period, MaxbeamFor the maximum number of beams available, α and β are constants, where α ∈ [0,1 ∈ ]],β∈[0,1]。
3. The network cell expansion method according to claim 2,
when the type of the predetermined cell is a user distributed cell, the determining a predetermined radio resource utilization algorithm according to the type of the predetermined cell includes: according to the user distributed cell, determining the predetermined wireless resource utilization rate algorithm as follows:
Figure FDA0002233270700000011
alternatively, the first and second electrodes may be,
when the type of the predetermined cell is ordinary cells, the determining the predetermined radio resource utilization algorithm according to the type of the predetermined cell comprises the following steps of determining the predetermined radio resource utilization algorithm according to ordinary cells:
Figure FDA0002233270700000021
alternatively, the first and second electrodes may be,
when the type of the predetermined cell is a user centralized cell, the determining a predetermined radio resource utilization algorithm according to the type of the predetermined cell includes: according to the user centralized cell, determining the predetermined radio resource utilization algorithm as follows:
Figure FDA0002233270700000022
wherein Ultiliaztion is the predetermined radio resource utilization, PRBi，jThe number of PRBs used by the jth beam of the ith slot cell,number of beams used for ith slot cell, MaxPRBIs the largest available PRB.
4. The method according to claim 2 or 3, wherein the capacity expansion condition of the predetermined cell comprises:
when the predetermined cell is the user distributed cell, if the Utiliaztion is more than or equal to delta and the Average is larger in the statistical periodUE≥VDistribution ofDetermining to expand the preset cell;
when the predetermined cell is the cell like the user , if Utiliaztion is greater than or equal to delta and Average is within the statistical periodUE≥V is commonDetermining to expand the preset cell;
when the predetermined cell is the user centralized cell, if the Utiliaztion is more than or equal to delta and the Average is within the statistical periodUE≥VCentralizingDetermining to expand the preset cell;
wherein v isDistribution of≥v is common≥vCentralizing，AverageUEThe average RRC connection number of the preset cell in the statistical period is delta is a constant and is within the range of 0,1]。
The device for expanding network cell of kinds is characterized in that it includes:
an obtaining module, configured to obtain beam information used by a predetermined cell in a scheduling slot, where the beam information includes a number of beams used by the predetermined cell and a number of physical resource blocks PRB used by each beam by the predetermined cell;
a processing module, configured to determine a type of the predetermined cell according to the beam information acquired by the acquiring module; determining a preset wireless resource utilization rate algorithm according to the type of the preset cell, and calculating the wireless resource utilization rate of the preset cell according to the beam information and the preset wireless resource utilization rate algorithm; and determining the capacity expansion condition of the predetermined cell according to the type of the predetermined cell, and determining the capacity expansion of the predetermined cell when the radio resource utilization rate of the predetermined cell is determined to meet the capacity expansion condition of the predetermined cell.
6. The device according to claim 5, wherein the processing module is specifically configured to determine Available according to the beam information within a predetermined statistical periodbeam≥α×MaxbeamDetermining the preset cell as user distributed cell, if determining α × Maxbeam＜Availablebeam＜β×MaxbeamIf not, determining the predetermined cell as a user centralized cell, wherein Available cellbeamFor the number of used beams in the statistical period, MaxbeamFor the maximum number of beams available, α and β are constants, where α ∈ [0,1 ∈ ]],β∈[0,1]。
7. The device according to claim 6, wherein the processing module is specifically configured to, when the type of the predetermined cell is a user distributed cell, determine, according to the user distributed cell, that the predetermined radio resource utilization algorithm is:
Figure FDA0002233270700000031
alternatively, the first and second electrodes may be,
when the predetermined cell is a user -like cell, according to the user -like cell, determining the predetermined radio resource utilization algorithm as:
alternatively, the first and second electrodes may be,
when the type of the predetermined cell is a user centralized cell, determining the predetermined radio resource utilization algorithm as follows according to the user centralized cell:
Figure FDA0002233270700000033
wherein Ultiliaztion is the predetermined radio resource utilization, PRBi，jThe number of PRBs used by the jth beam of the ith slot cell,
Figure FDA0002233270700000034
number of beams used for ith slot cell, MaxPRBIs the largest available PRB.
8. The device according to claim 6 or 7, wherein the capacity expansion condition of the predetermined cell comprises:
when the predetermined cell is the user distributed cell, if the Utiliaztion is more than or equal to delta and the Average is larger in the statistical periodUE≥VDistribution ofDetermining to expand the preset cell;
when the predetermined cell is the cell like the user , if Utiliaztion is greater than or equal to delta and Average is within the statistical periodUE≥V is commonDetermining to expand the preset cell;
when the predetermined cell is the user centralized cell, if the statistical period Utiliaztion is more than or equal to delta and AverageUE≥VCentralizingDetermining to expand the preset cell;
wherein, VDistribution of≥V is common≥VCentralizing，AverageUEThe average RRC connection number of the preset cell in the statistical period is delta is a constant and is within the range of 0,1]。
9, network cell capacity expansion device, comprising a processor, wherein when the network cell capacity expansion device runs, the processor runs instructions to make the network cell capacity expansion device execute the network cell capacity expansion method according to any claims 1-4.
10, computer storage medium comprising instructions that, when executed on a computer, cause the computer to perform the network cell capacity method of any of claims 1-4 through .
Computer program product of claim 11, , characterized in that it comprises instruction code for performing the network cell-extension method of any of claims 1-4 to .
CN201910974873.5A 2019-10-14 2019-10-14 Network cell capacity expansion method and device Active CN110740450B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910974873.5A CN110740450B (en) 2019-10-14 2019-10-14 Network cell capacity expansion method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910974873.5A CN110740450B (en) 2019-10-14 2019-10-14 Network cell capacity expansion method and device

Publications (2)

Publication Number Publication Date
CN110740450A true CN110740450A (en) 2020-01-31
CN110740450B CN110740450B (en) 2022-09-02

Family

ID=69268860

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910974873.5A Active CN110740450B (en) 2019-10-14 2019-10-14 Network cell capacity expansion method and device

Country Status (1)

Country Link
CN (1) CN110740450B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113573351A (en) * 2021-07-27 2021-10-29 中国联合网络通信集团有限公司 Method and device for determining wireless resource utilization rate, electronic equipment and storage medium
CN114125948A (en) * 2021-11-25 2022-03-01 中国联合网络通信集团有限公司 Method, device and storage medium for determining maximum service resource threshold

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011150719A1 (en) * 2010-06-03 2011-12-08 中兴通讯股份有限公司 Method and device for processing inter-cell interference coordination information
CN104219673A (en) * 2013-05-30 2014-12-17 中国电信股份有限公司 Network expansion method and system
KR20160004751A (en) * 2014-07-04 2016-01-13 삼성전자주식회사 Method and apparatus for cell searching in cellular communication system
CN105407486A (en) * 2015-12-02 2016-03-16 中国联合网络通信集团有限公司 Network expansion method and device
CN105992228A (en) * 2015-01-29 2016-10-05 中国移动通信集团浙江有限公司 Wireless network capacity expansion method and device and electronic device
CN108966238A (en) * 2017-05-18 2018-12-07 上海大唐移动通信设备有限公司 A kind of network expansion method and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011150719A1 (en) * 2010-06-03 2011-12-08 中兴通讯股份有限公司 Method and device for processing inter-cell interference coordination information
CN104219673A (en) * 2013-05-30 2014-12-17 中国电信股份有限公司 Network expansion method and system
KR20160004751A (en) * 2014-07-04 2016-01-13 삼성전자주식회사 Method and apparatus for cell searching in cellular communication system
CN105992228A (en) * 2015-01-29 2016-10-05 中国移动通信集团浙江有限公司 Wireless network capacity expansion method and device and electronic device
CN105407486A (en) * 2015-12-02 2016-03-16 中国联合网络通信集团有限公司 Network expansion method and device
CN108966238A (en) * 2017-05-18 2018-12-07 上海大唐移动通信设备有限公司 A kind of network expansion method and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
任海平等: ""LTE双波束天线应用与优化"", 《信息化研究》 *
吴超: "LTE在低成本网络扩容中的技术应用", 《电信快报》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113573351A (en) * 2021-07-27 2021-10-29 中国联合网络通信集团有限公司 Method and device for determining wireless resource utilization rate, electronic equipment and storage medium
CN114125948A (en) * 2021-11-25 2022-03-01 中国联合网络通信集团有限公司 Method, device and storage medium for determining maximum service resource threshold

Also Published As

Publication number Publication date
CN110740450B (en) 2022-09-02

Similar Documents

Publication Publication Date Title
CN109600178B (en) Optimization method for energy consumption, time delay and minimization in edge calculation
TWI753175B (en) Electronic apparatus, method and computer-readable storage medium for wireless communications
CN104244256B (en) A kind of method and apparatus that interference coordination control is carried out to cell
CN110719641B (en) User unloading and resource allocation joint optimization method in edge computing
CN109548167B (en) Coverage range self-adaptive adjusting method and device, computer storage medium and equipment
CN112188551B (en) Computation migration method, computation terminal equipment and edge server equipment
CN110740450A (en) network cell capacity expansion method and device
Daas et al. Energy management framework for 5G ultra-dense networks using graph theory
Elshennawy Modified Proportional Fair Scheduling Algorithm for Heterogeneous LTE-A Networks.
CN108271160B (en) Network resource optimization method and device
CN110139318B (en) NOMA cellular heterogeneous network resource allocation method and system
JP6096952B1 (en) Scheduling apparatus and method
CN102469524B (en) Method, terminal, equipment and system for realizing carrier load balance
CN104469798A (en) Communication network load condition information forecasting method based on Markov chain
EP3373629B1 (en) Spectrum access method and apparatus utilizing same
CN110380808B (en) Micro-cell semi-clustering interference coordination method taking user equipment as center
CN112104737B (en) Calculation migration method, mobile computing equipment and edge computing equipment
Wesemann et al. Decentralized formation of uplink CoMP clusters based on affinity propagation
CN112929837B (en) Dynamic control method and device for radio remote unit
CN109005589B (en) Method and equipment for spectrum resource allocation
CN103298093A (en) Power distribution method and device under condition of multi-system coexistence
KR102056894B1 (en) Dynamic resource orchestration for fog-enabled industrial internet of things networks
CN108260165B (en) Method and device for load balancing among sectors
CN115002884B (en) Access point turn-off method and device for non-cellular network
Ma et al. An optimized power model of heterogeneous BBU pool in super base station architecture

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant